diff --git "a/openvino_model.xml" "b/openvino_model.xml"
new file mode 100644--- /dev/null
+++ "b/openvino_model.xml"
@@ -0,0 +1,30085 @@
+<?xml version="1.0"?>
+<net name="Model0" version="11">
+	<layers>
+		<layer id="2" name="input_ids" type="Parameter" version="opset1">
+			<data shape="?,?" element_type="i64" />
+			<output>
+				<port id="0" precision="I64" names="input_ids">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="attention_mask" type="Parameter" version="opset1">
+			<data shape="?,?" element_type="i64" />
+			<output>
+				<port id="0" precision="I64" names="attention_mask">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="0" name="beam_idx" type="Parameter" version="opset1">
+			<data shape="?" element_type="i32" />
+			<output>
+				<port id="0" precision="I32" names="beam_idx">
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="Constant_19604" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4" name="ShapeOf_19578" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="Constant_19580" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="Constant_19582" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="7" name="Gather_19583" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="Constant_19597" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="Constant_19599" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="Constant_19601" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="Concat_19602" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="Broadcast_19605" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>0</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="ReadValue_19248" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.9.valuepresent.9.value" variable_type="f32" variable_shape="?,12,?,64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>0</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.9.value">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="Constant_18860" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="15" name="Gather_18861" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="self.model.model.decoder.embed_tokens.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="50272, 768" offset="28" size="38608896" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>50272</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="Convert_68668" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>50272</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>50272</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="self.model.model.decoder.embed_tokens.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="50272, 1" offset="38608924" size="50272" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>50272</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="Convert_68671" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>50272</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>50272</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="self.model.model.decoder.embed_tokens.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>50272</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>50272</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>50272</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="self.model.model.decoder.embed_tokens.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="50272, 1" offset="38659196" size="100544" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>50272</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="self.model.model.decoder.embed_tokens.weight/fq_weights_0" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>50272</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>50272</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>50272</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="__module.model.model.decoder.embed_tokens/ov_ext::embedding/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>50272</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>50272</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="Constant_17650" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="38759740" size="16" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="__module.model.model.decoder/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="143">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="__module.model.model.decoder.embed_tokens/ov_ext::embedding/Convert_1" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="27" name="__module.model.model.decoder.embed_tokens/ov_ext::embedding/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="28" name="__module.model.model.decoder.embed_tokens/ov_ext::embedding/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>50272</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="145,inputs_embeds">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="29" name="self.model.model.decoder.embed_positions.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="2050, 768" offset="38759756" size="1574400" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>2050</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="30" name="Convert_68930" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>2050</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>2050</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="31" name="self.model.model.decoder.embed_positions.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="2050, 1" offset="40334156" size="2050" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>2050</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="32" name="Convert_68933" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>2050</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>2050</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="33" name="self.model.model.decoder.embed_positions.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2050</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>2050</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>2050</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="34" name="self.model.model.decoder.embed_positions.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2050, 1" offset="40336206" size="4100" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>2050</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="35" name="self.model.model.decoder.embed_positions.weight/fq_weights_0" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2050</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>2050</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>2050</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="36" name="self.model.model.decoder.embed_positions.weight/fq_weights_0/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2050</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>2050</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="37" name="81" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="40340306" size="8" />
+			<output>
+				<port id="0" precision="I64" names="81" />
+			</output>
+		</layer>
+		<layer id="38" name="__module.model.model.decoder.embed_positions/aten::cumsum/CumSum" type="CumSum" version="opset3">
+			<data exclusive="false" reverse="false" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="I64" names="192,193">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="39" name="__module.model.model.decoder.embed_positions/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="194,195">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="40" name="Constant_17030" type="Const" version="opset1">
+			<data element_type="i64" shape="1, 1" offset="40340314" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="41" name="__module.model.model.decoder.embed_positions/aten::sub/Subtract" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="196,197,positions.1">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="42" name="ReadValue_19202" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.0.keypresent.0.key" variable_type="f32" variable_shape="?,12,?,64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>0</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.0.key">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="43" name="Constant_18803" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="44" name="Gather_18804" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
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+			<data destination_type="f32" />
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+			<data destination_type="f32" />
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+		<conversion_parameters>
+			<framework value="pytorch" />
+			<is_python_object value="True" />
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+		<nncf>
+			<friendly_names_were_updated value="True" />
+			<weight_compression>
+				<advanced_parameters value="{'awq_params': {'subset_size': 32, 'percent_to_apply': 0.002, 'alpha_min': 0.0, 'alpha_max': 1.0, 'steps': 100}, 'scale_estimation_params': {'subset_size': 64, 'initial_steps': 5, 'scale_steps': 5, 'weight_penalty': -1.0}, 'gptq_params': {'damp_percent': 0.1, 'block_size': 128, 'subset_size': 128}, 'lora_correction_params': {'adapter_rank': 8, 'num_iterations': 3, 'apply_regularization': True, 'subset_size': 128, 'use_int8_adapters': True}}" />
+				<all_layers value="False" />
+				<awq value="True" />
+				<gptq value="False" />
+				<group_size value="64" />
+				<ignored_scope value="[]" />
+				<lora_correction value="False" />
+				<mode value="int4_asym" />
+				<ratio value="1.0" />
+				<scale_estimation value="True" />
+				<sensitivity_metric value="max_activation_variance" />
+			</weight_compression>
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+		<optimum>
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+			<optimum_version value="1.23.0.dev0" />
+			<pytorch_version value="2.3.0" />
+			<transformers_version value="4.45.1" />
+		</optimum>
+	</rt_info>
+</net>